Anchoring data quality dimensions in ontological foundations
Communications of the ACM
A product perspective on total data quality management
Communications of the ACM
Data quality and systems theory
Communications of the ACM
Communications of the ACM - Supporting community and building social capital
Data Quality for the Information Age
Data Quality for the Information Age
Managing Information Quality
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Time-Related Factors of Data Quality in Multichannel Information Systems
Journal of Management Information Systems
Quality-driven query answering for integrated information systems
Quality-driven query answering for integrated information systems
Defining a quality model for portal data
ICWE '06 Proceedings of the 6th international conference on Web engineering
Referential integrity quality metrics
Decision Support Systems
Ranking with tagging as quality indicators
Proceedings of the 2008 ACM symposium on Applied computing
A proposal for a set of attributes relevant for Web portal data quality
Software Quality Control
A Procedure to Develop Metrics for Currency and its Application in CRM
Journal of Data and Information Quality (JDIQ)
Content Quality Assessment Related Frameworks for Social Media
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Automatic accuracy assessment via hashing in multiple-source environment
Expert Systems with Applications: An International Journal
Development process of the operational version of PDQM
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
Defining a data quality model for web portals
WISE'06 Proceedings of the 7th international conference on Web Information Systems
A first approach to a data quality model for web portals
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part III
Data quality: Setting organizational policies
Decision Support Systems
Research on chinese hydrological data quality management
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
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The quality of data is often defined as "fitness for use", i.e., the ability of a data collection to meet user requirements. The assessment of data quality dimensions should consider the degree to which data satisfy users' needs. User expectations are clearly related to the selected services and at the same time a service can have different characteristics depending on the type of user that accesses it. The data quality assessment process has to consider both aspects and, consequently, select a suitable evaluation function to obtain a correct interpretation of results. This paper proposes a model that ties the assessment phase to user requirements. Multichannel information systems are considered as an example to show the applicability of the proposed model.